Abstract
<abstract> <p>With the rapid rise of social networking software, some attractive content has appeared on social platforms, which has spread rapidly and flourished in the online world. As a commercial district mainly featuring Tang culture, the Great Tang All-Day Mall has received widespread attention both in reality and on the Internet. In this paper, a big data semantic analysis model is introduced into the online reviews of the commercial district of the Great Tang All-Day Mall to understand the behaviour and experience of tourists. Using a large-scale review dataset, an exploratory analysis of the Great Tang All-Day Mall has been conducted. A comprehensive list of topics discussed by tourists visiting the Great Tang All-Day Mall has been created. The interests and concerns of the visitor groups are demonstrated. The proposed methodology and findings help commercial district managers understand visitors' perceptions so that effective marketing and improvement plans could be developed to attract and retain future customers.</p> </abstract>
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